🔍 Objective: This project is of Adidas sales database, extracting crucial insights to enhance sales performance and refine business strategies. Through a comprehensive analysis of sales data, the aim is to pinpoint influential factors, detect trends, and unveil potential avenues for expansion. Employed Power BI visualizations and filters, created an interactive dashboard for a comprehensive analysis of sales data, offering an in-depth and interactive view of the information.
🗂️ Dataset Information
- Data Source: Adidas US Sales Datasets.xlsx
- Data Size: 9648 records
- Key Columns: Invoice Date, Product, Region, Total Sales, Units Sold, Profit
📥How to Use
- Download and open the .pbix file using Power BI Desktop.
- Use the slicers and filters to explore different data views.
- Customize visuals or data models as needed for your analysis.
📚Skills Demonstrated
- Data cleaning and modeling in Power BI
- DAX for calculated columns and measures
- Advanced visualization techniques
- Dashboard design and user experience
🧑💻 Author
Shravya Kasarla